Recent progress in innovation is making the life prosper, simpler and easier for common
individual. The World Health Organization (WHO) statistics indicate that a large amount of …

In this paper, we present methods in deep multimodal learning for fusing speech and visual
modalities for Audio-Visual Automatic Speech Recognition (AV-ASR). First, we study an …

Integrating image processing in video surveillance systems is a challenging task that has
been attempted for the past several decades. Despite being susceptible to crime, automated …

In recent years, the electronic devices and wireless network are seen everywhere,
generating a massive amount of online surveillance video data that can be applied to …

In this paper, the proposed software system based on face recognition the proposed system
can be implemented in the smart building or any VIP building need security interring in …

Driver fatigue is a major cause of traffic accidents. Automatic vision-based driver fatigue
recognition is one of the most prospective commercial applications based on facial …

Unlike other biometrics, face recognition is non-invasive, and does not need physical
contact of the individual with the system, making it a very acceptable biometric. Vision-based …

Most traditional facial expression-recognition systems track facial components such as eyes,
eyebrows, and mouth for feature extraction. Though some of these features can provide …

Security of the online transmission of personal information is of utmost importance these
days. Integrating face detection and recognition with steganography techniques improves …

The detection of defects and contamination on wind turbine blades (WTBs) using neural
networks is a rapidly growing research area. One problem with publicly available datasets of …